Data Science Curricula at the University of Washington eScience Institute

Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=3VjP-CHqA64



Duration: 35:37
804 views
5


The University of Washington eScience Institute is engaged in a number of educational efforts in data science, including certificate programs for professionals, workshops for students in domain science, a new data-oriented introductory programming course, and a data science MOOC to be offered through Coursera in the Spring. We consider the tools, techniques, research topics, and skills to be well-aligned with the data-driven discovery emphasis of eScience itself - the only difference is that applications. We see several benefits in aligning these two areas. For example, students in science majors who are not pursuing research careers become more marketable. In the other direction, working professionals see opportunities to apply their skills to solve science problems - we have recruited volunteers from industry in this way. In this talk, I'll discuss these activities, review our curriculum, and describe our next steps.




Other Videos By Microsoft Research


2016-08-11Machine Learning Work Shop-Session 4 - Hariharan Narayanan - Testing the Manifold Hypothesis
2016-08-11Machine Learning Work Shop-Session 3 - Pedro Domingos - Learning Tractable but Expressive Models
2016-08-11Machine Learning Work Shop - Graphical Event Models for Temporal Event Streams
2016-08-11Machine Learning Work Shop - Online Learning Against Adaptive Adversaries
2016-08-11Machine Learning Work Shop - Counterfactual Measurements and Learning Systems
2016-08-11Machine Learning Work Shop - Why Submodularity is Important to Machine Learning
2016-08-11Machine Learning Work Shop - Bayesian Nonparametrics for Complex Dynamical Phenomena
2016-08-11Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs
2016-08-11Deep and segmental convolutional neural networks for speech recognition
2016-08-11Active Publications
2016-08-11Data Science Curricula at the University of Washington eScience Institute
2016-08-11Machine Assisted Thought
2016-08-11Keynote: Biology: A Move to Dry Labs
2016-08-11Graph Drawing 2012 Day 2 - Session 1
2016-08-11Machine Learning Course - Lecture 1
2016-08-11Keynote: Defensible Modeling of the Biosphere
2016-08-11Informatics, Information Science, Computer Science and Data ScienceCurricula
2016-08-11Graph Drawing 2012 Day 2 - Session - 3
2016-08-11What Is a Data Scientist?
2016-08-11Connecting Research with Education: 20 research scenarios that require new computational practice
2016-08-11Graph Drawing 2012 Day 3 - Session 1



Tags:
microsoft research